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Developing a personalised end-to-end optimisation algorithm for smart parking systems
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DOI：10.1016/j.trc.2026.105548.png)
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Abstract
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• A novel MARL-based end-to-end parking allocation approach with intermodal transport. • GRA is used to model personalised parking profiles for individuals. • A comparative analysis evaluates GRA’s against TOPSIS in the MARL paradigm.
Keywords:
Reinforcement learning
Personalised parking allocation
Multi-agent simulation
Intermodal optimisation
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